Storage Engines

Diagram comparing LSM and B‑Tree write paths

Why LSM Trees Outperform B-Trees for Write‑Intense Workloads

An in‑depth comparison of LSM trees and B‑trees that explains why LSM excels on write‑heavy workloads, backed by real‑world examples and practical takeaways.

Diagram of a B‑tree node split during a copy‑on‑write operation.

Why Copy-on-Write B-Trees Outperform Traditional In-Place Updates

An in‑depth look at why copy‑on‑write B‑trees beat traditional in‑place updates, covering algorithmic details, performance metrics, and practical deployment tips.

Illustration of a B‑tree node beside an LSM tree log segment.

Why B‑Trees Outperform LSM Trees for Read‑Heavy Workloads

A deep dive into the structural differences that make B‑trees superior for read‑intensive scenarios, backed by benchmarks and real‑world engineering insights.

Illustration of a log‑structured merge tree with multiple levels

Optimizing Write Throughput with Log-Structured Merge Trees

A deep dive into LSM‑tree internals, compaction strategies, and configuration knobs that let you squeeze maximum write performance from modern storage engines.

Diagram of an LSM tree with levels and compaction.

How LSM Trees Minimize Write Amplification in Distributed Databases

A deep dive into LSM tree mechanics and why they’re the go‑to choice for minimizing write amplification in modern distributed databases.